A5052803135- Meteorological Phenomena and Simulations
- Atmospheric and Environmental Gas Dynamics
- Energy Load and Power Forecasting
- Wind Energy Research and Development
- Climate variability and models
- Cryospheric studies and observations
- Global Energy and Sustainability Research
- Arctic and Antarctic ice dynamics
- Solar Radiation and Photovoltaics
- Marine and Offshore Engineering Studies
- Climate change and permafrost
- Wind and Air Flow Studies
- Arctic and Russian Policy Studies
- Photovoltaic Systems and Sustainability
- Soil Moisture and Remote Sensing
- Climate Change Policy and Economics
- Oceanographic and Atmospheric Processes
- Tropical and Extratropical Cyclones Research
- Global Energy Security and Policy
- Integrated Energy Systems Optimization
- Technology Assessment and Management
- Precipitation Measurement and Analysis
- Computational Physics and Python Applications
- Geophysics and Gravity Measurements
- Hydrological Forecasting Using AI
National Renewable Energy Laboratory
2019-2025
Sandia National Laboratories
2025
Oak Ridge National Laboratory
2025
NOAA Global Systems Laboratory
2021-2022
NOAA Earth System Research Laboratory
2008-2022
National Oceanic and Atmospheric Administration
2008-2020
American Meteorological Society
2019
Science and Technology Corporation (United States)
2019
NSF National Center for Atmospheric Research
2019
University of Colorado Boulder
2003-2019
The deployment of solar-based electricity generation, especially in the form photovoltaics (PVs), has increased markedly recent years due to a wide range factors including concerns over greenhouse gas emissions, supportive government policies, and lower equipment costs. Still, number challenges remain for reliable, efficient integration solar energy. Chief among them will be developing new tools practices that manage variability uncertainty power.
Abstract The primary goal of the Second Wind Forecast Improvement Project (WFIP2) is to advance state-of-the-art wind energy forecasting in complex terrain. To achieve this goal, a comprehensive 18-month field measurement campaign was conducted region Columbia River basin. observations were used diagnose and quantify systematic forecast errors operational High-Resolution Rapid Refresh (HRRR) model during weather events particular concern forecasting. Examples such are cold pools, gap flows,...
Abstract The Wind Forecast Improvement Project (WFIP) is a public–private research program, the goal of which to improve accuracy short-term (0–6 h) wind power forecasts for energy industry. WFIP was sponsored by U.S. Department Energy (DOE), with partners that included National Oceanic and Atmospheric Administration (NOAA), private forecasting companies (WindLogics AWS Truepower), DOE national laboratories, grid operators, universities. employed two avenues improving forecasts: first,...
Abstract The Second Wind Forecast Improvement Project (WFIP2) is a U.S. Department of Energy (DOE)- and National Oceanic Atmospheric Administration (NOAA)-funded program, with private-sector university partners, which aims to improve the accuracy numerical weather prediction (NWP) model forecasts wind speed in complex terrain for energy applications. A core component WFIP2 was an 18-month field campaign that took place Pacific Northwest between October 2015 March 2017. large suite...
The rapid deployment of wind and solar energy generation systems has resulted in a need to better understand, predict, manage variable generation.The uncertainty around power forecasts is still viewed by the industry as being quite high, many barriers forecast adoption system operators remain.In response, U.S. Department Energy sponsored, partnership with National Oceanic Atmospheric Administration, public, private, academic organizations, two projects advance forecasts.Additionally, several...
Abstract In 2015 the U.S. Department of Energy (DOE) initiated a 4-yr study, Second Wind Forecast Improvement Project (WFIP2), to improve representation boundary layer physics and related processes in mesoscale models for better treatment scales applicable wind power forecasts. This goal challenges numerical weather prediction (NWP) complex terrain large part because inherent assumptions underlying their parameterizations. The WFIP2 effort involved industry, universities, National...
Advances in atmospheric science are critical to increased deployment of variable renewable energy (VRE) sources. For VRE sources, such as wind and solar, reach high penetration levels the nation's electric grid, system operators need better observations, models, forecasts. Improved meteorological observations through a deep layer atmosphere needed for assimilation into numerical weather prediction (NWP) models. The improved operational NWP forecasts that can be used inputs power models...
Abstract The atmospheric flow phenomenon known as the Low Level Jet (LLJ) is an important source of wind power production in Great Plains. However, due to lack measurements with precision and vertical resolution needed, particularly at rotor heights, it not well‐characterized or understood offshore regions being considered for wind‐farm development. present paper describes properties LLJs shear through layer a hypothetical turbine, measured from ship‐borne Doppler lidar Gulf Maine...
Abstract In association with the Department of Energy–funded Position Offshore Wind Energy Resources (POWER) project, we present results from compositing a 3‐year dataset 80‐m (above ground level) wind forecasts 3‐km High‐Resolution Rapid Refresh (HRRR) model over offshore regions for contiguous United States. The HRRR numerical weather prediction system runs once an hour and features hourly data assimilation, providing key advantage previous model‐based datasets. On basis 1‐hour model,...
Abstract To advance the understanding of meteorological processes in offshore coastal regions, spatial variability wind profiles must be characterized and uncertainties (errors) NWP model forecasts quantified. These gaps are especially critical for new energy industry, where profile measurements marine atmospheric layer spanned by turbine rotor blades, generally 50–200 m above mean sea level (MSL), have been largely unavailable. Here, high-quality were available every 15 min from National...
Abstract Annually and seasonally averaged wind profiles from three Doppler lidars were obtained sites in the Columbia River basin of east-central Oregon Washington, a major region wind-energy production, for Second Wind Forecast Improvement Project (WFIP2) experiment. The profile data are used to quantify spatial variability flows this area complex terrain, assess HRRR–NCEP model’s ability capture temporal profiles, evaluate model errors. measured speed differences over 70-km extent lidar...